000			01252cam a22002657i 4500
999			_c25141 _d25141
008			161031s2017 nyua 001 0 eng d
010			_a 2016285282
020			_a9789351199496
020			_a1617291927 (acidfree paper)
035			_a(OCoLC)ocn915498951
042			_alccopycat
082	0	4	_a 005.13 BRI-R _223
100	1		_aBrink, Henrik,
245	0	0	_aReal-world machine learning / _cHenrik Brink, Joseph W. Richards, Mark Fetherolf.
260			_aNew Delhi _bDreamtech _c2017
500			_aIncludes index.
505	0		_apt. 1. The machine-learning workflow. What is machine learning? ; Real-world data ; Modeling and prediction ; Model evaluation and optimization ; Basic feature engineering -- pt. 2. Practical application. Example : NYC taxi data ; Advanced feature engineering ; Advanced NLP example : Movie review sentiment ; Scaling machine-learning workflows ; Example : digital display advertising.
650		0	_aMachine learning.
700	1		_aRichards, Joseph W., _eauthor.
700	1		_aFetherolf, Mark, _eauthor.
942			_2ddc _cBK
906			_a7 _bcbc _ccopycat _d2 _encip _f20 _gy-gencatlg